Wronskian order estimates at a Dedekind DVR place #
This file proves the determinant-level local estimate directly in a fraction field equipped with a height-one-place order. It avoids passage to Laurent series: the only local input is a DVR-preserving derivation which sends a chosen uniformizer to one.
The order of a finite product is the sum of the orders, including zero
factors via WithTop.
If every summand has order at least b, then their finite sum also has
order at least b. This is the cancellation step in the determinant
estimate.
Multiplication by an integer coefficient cannot decrease finite-place order. This handles the permutation signs in the Leibniz determinant formula.
An indexed ordinary-derivation Wronskian over the fraction field. The
function ε records the derivative order assigned to each row.
Equations
- BGS.CorvajaZannier.indexedDedekindLocalWronskian D ε f i j = (⇑D)^[ε i] (f j)
Instances For
Apply a constant scalar matrix to the columns of an indexed fraction-field family.
Equations
- BGS.CorvajaZannier.indexedDedekindLocalColumnCombination f A j = ∑ i : ι, A i j • f i
Instances For
Constant column operations commute with the indexed DVR Wronskian.
A determinant-one constant column operation preserves the indexed DVR Wronskian determinant.
For any DVR-preserving derivation, the indexed Wronskian determinant has order at least the sum of its column orders minus the sum of its row derivative orders. Cancellation in the determinant expansion is included.
The normalized-uniformizer form retained for compatibility with the existing local-parameter API.
If every column is represented by an element of the DVR and the derivation preserves the DVR, then the indexed Wronskian determinant is regular. This is the direct DVR analogue of the regular local auxiliary case.
The indexed determinant estimate after a determinant-one constant column operation, assuming only that the derivation preserves the DVR.
The indexed determinant estimate after a determinant-one constant column operation. This normalized form is retained for the local-parameter API.
Change of parameter for an indexed ordinary Wronskian whose derivative
orders are 0, ..., n - 1, transported along an explicit equivalence.
Indexed scaled-derivation estimate. The equivalence certifies that the row orders are precisely the ordinary derivative orders, so the scalar costs the expected triangular exponent.
The ordinary n × n Wronskian, with derivative orders
0, ..., n - 1.
Equations
- BGS.CorvajaZannier.dedekindLocalWronskian D f = BGS.CorvajaZannier.indexedDedekindLocalWronskian D (fun (i : Fin n) => ↑i) f
Instances For
The direct Dedekind-local Wronskian is definitionally the ordinary derivation Wronskian used by the change-of-parameter theorem.
Change of parameter for the direct Dedekind-local Wronskian. In particular this permits replacing a global derivation by a DVR-preserving scalar multiple while recording the exact triangular valuation cost.
For a DVR-preserving derivation, the ordinary Wronskian loses at most the
triangular number n * (n - 1) / 2 from the sum of its column orders.
A scalar multiple of the ambient derivation may be used to obtain a
DVR-preserving local derivation. The right side records exactly the order of
the scalar to the Wronskian triangular exponent; no false formula for
iterates of c • D is used.
The ordinary Wronskian loses at most the triangular number
n * (n - 1) / 2 from the sum of its column orders. This normalized form is
retained for the local-parameter API.